[How many diabetic patients are there in France?].
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Biomedical subjects
Publications and source records attributed to P Passa.
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Approximately 20% of all patients hospitalized for myocardial infarction have diabetes. The percentage has been increasing constantly and mortality is significantly higher in these patients. The highest rate is observed in women. Despite continuing progress in patient management there has been no reduction in the overmortality after myocardial infarction in diabetic patients. The majority of these deaths are unwarranted and could be avoided if diabetic patients were given specifically adapted treatment after myocardial infarction. Unfortunately, as shown by the EURASPIRE study, there is a gap between intensive care unit discharge prescriptions and follow-up care. With the explosive "epidemic" of noninsulin-diabetes and population aging the number of patients with coronary artery disease and diabetes will rise in the future. Wouldn't it be reasonable to establish special cardiodiabetic units where such patients could benefit from close, and daily, cooperation between diabetologists and cardiologists? Such facilities could be expected to significantly reduce the overmortality in diabetic patients after myocardial infarction.
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A considerable proportion of Type 2 diabetic patients suffer from hyperglycaemic symptoms and therefore experience reduced quality of life. Furthermore, increasing evidence suggests that poor glycaemic control is associated with a risk that late complications will develop. The traditional stepped approach to therapy often results in a reluctance to escalate therapy to keep up with the progression of the disease, and therefore new strategies are needed to improve the results. Type 2 diabetes is a heterogeneous disorder, and hyperglycaemia is the result of deficient insulin secretion and insulin resistance; and the natural course of the disease is progression of hyperglycaemia. The therapy should be tailored to match the different needs of individual patients. Diet and exercise are essential to support all other therapies, but are often overlooked and may not be effective alone. The effectiveness of oral hypoglycaemic agents (OHAs) depends on the patients having sufficient insulin secretory capacity. These agents are therefore of little benefit to patients with profound beta-cell failure. The combination of oral agents from two different pharmaceutical groups can be more effective than monotherapy, but in many patients insulin deficiency ensues and hyperglycaemia progresses. In principle, insulin therapy should always be able to lower glucose levels; improved glycaemic control is achieved in most patients, followed by amelioration of hyperglycaemic symptoms and improvements in quality of life. However, near-normoglycaemia may be difficult to achieve with the pharmacological limitations imposed by the preparations available, the methods of administration, and the ability and motivation of the patients. Importantly, insulin therapy should be tailored to meet the individual needs of the patients, and patients should be taught self-adjustment of doses based on self-monitoring of blood glucose levels. A considerable proportion of Type 2 diabetic patients (primarily the young and lean) require multiple-dose regimens. Combination therapy with OHAs and insulin might offer an advantage to some patients, and a recent study from Finland suggests that the combination of bedtime insulin and daytime metformin may be superior to other bedtime insulin regimens. There is still some way to go to devise an optimal therapy for Type 2 diabetes.
A clinical trial was performed to assess the effects on quality of life of a treatment (ifenprodil tartrate 20 mg, 3 times daily for one year) in patients suffering from peripheral arterial obliterative disease of the lower extremities with intermittent claudication. A specific questionnaire--ARTEMIS--was used to evaluate quality of life. The study enabled the responsiveness over time of the ARTEMIS questionnaire to be checked. During this open, prospective, multicentre study, patients requiring treatment for peripheral arterial disease of the lower extremities and recruited by angiologists and general practitioners filled in the complete or short form of the ARTEMIS questionnaire, respectively, at baseline, and at 3, 6, 9 and 12 months. 4821 patients were recruited. 4494 questionnaires were analysed (169 from the angiologist group and 4325 from the general practitioner group). The majority of the patients (mean age 67 years) were men (70%), either former or current smokers (68%), with high blood pressure (54%), hyperlipidaemia (48%) and type 2 (non-insulin-dependent) diabetes mellitus (16%), and with a 3-year history of intermittent claudication (+/- 3.5) on average. Quality-of-life scores improved (as from month 3) between baseline and month 12. This progression was significant for all dimensions of the reduced questionnaire (p < or = 0.0001) and for 12 of the 15 dimensions of the complete version. These quality-of-life results should be measured against the global clinical improvement, which was rated as good by the investigators (70% of cases). Treatment tolerability was assessed for the 4821 patients recruited and was judged satisfactory. The number and type of serious events and recorded deaths corresponded to events commonly observed in this elderly population. These results show how the ARTEMIS quality-of-life scales can be used in community practice during symptomatic treatment with a vasoactive agent such as ifenprodil, to assess quality-of-life improvements in patients suffering from stage II peripheral arterial disease of the lower extremities.
We report a study of 10 candidate genes presumably involved in diabetes or insulin resistance or obesity among Pondicherian Tamil Indians, an isolated population with a high prevalence of diabetes. Forty-nine families with at least two affected patients in the sibship (567 individuals) were selected and tested by PCR-RFLP techniques for reported mutations in 10 diabetes or obesity candidate genes: glucagon receptor, insulin receptor substrate 1, insulin receptor, human beta 3 adrenergic receptor, fatty acid binding protein 2, mitochondrial tRNA(Leu(UUR)), sulphonylurea receptor, human uncoupling protein and the glycogen-associated regulatory subunit of protein phosphatase-1. Glucokinase gene was also screened for mutations. No mutations were found in glucokinase, glucagon receptor and mitochondrial genes in any of the 49 probands. Frequencies of polymorphisms at other loci were similar to those reported in Caucasian populations, except for 4 of the loci at which a higher frequency of variants was observed: human beta 3 adrenergic receptor, human uncoupling type 1 protein, fatty acid binding protein 2 and the glycogen-associated regulatory subunit of protein phosphatase-1. However, no evidence of association between any of these gene variants and non-insulin-dependent diabetes mellitus (NIDDM) or quantitative traits related to NIDDM (including body mass index, waist/hip ratio, insulinaemia, glycaemia, triglycerides and total cholesterol) was found in our sample. These results suggest that none of these gene variants commonly found in the Pondicherian Tamil population of South India is a major NIDDM predisposing locus, although it cannot be excluded that they may contribute to the polygenic background of the metabolic syndrome in Pondichery.
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Diabetic nephropathy is a glomerular disease due to uncontrolled diabetes and genetic factors. It can be caused by glomerular hypertension produced by capillary vasodilation, due to diabetes, against constitutional glomerular resistance. As angiotensin II increases glomerular pressure, we studied the relationship between genetic polymorphisms in the renin-angiotensin system-angiotensin I converting enzyme (ACE), angiotensinogen (AGT), and angiotensin II, subtype 1, receptor-and the renal involvement of insulin-dependent diabetic subjects with proliferative retinopathy: those exposed to the risk of nephropathy due to diabetes. Of 494 subjects recruited in 17 centers in France and Belgium (GENEDIAB Study), 157 (32%) had no nephropathy, 104 (21%) incipient (microalbuminuria), 126 (25 %) established (proteinuria), and 107 (22%) advanced (plasma creatinine > or = 150 micromol/liter or renal replacement therapy) nephropathy. The severity of renal involvement was associated with ACE insertion/deletion (I/D) polymorphism: chi2 for trend 5.135, P = 0.023; adjusted odds ratio attributable to the D allele 1.889 (95% CI 1.209-2.952, P = 0.0052). Renal involvement was not directly linked to other polymorphisms. However, ACE I-D and AGT M235T polymorphisms interacted significantly (P = 0.0166): in subjects with ACE ID and DD genotypes, renal involvement increased from the AGT MM to TT genotypes. Thus, genetic determinants that affect renal angiotensin II and kinin productions are risk factors for the progression of glomerular disease in uncontrolled insulin-dependent diabetic patients.
Paraoxonase was identified as a genetic risk factor for cardiovascular disease (CVD) in recent studies focusing on a polymorphism affecting position 191. A second polymorphism of the paraoxonase gene affects position 54 and involves a methionine (M allele) to leucine (L allele) change. It was investigated in diabetic patients (n = 408) with and without vascular disease. There were highly significant differences in plasma concentrations and activities of paraoxonase between genotypes defined by the 54 polymorphism: MMAA, MLAA, LLAA; protein, 65.3+/-18.0, 77.9+/-18.0, 93.5+/-26.0 microg/ml; P < 0.0001: activity (phenylacetate), 48.6+/-13.5, 64.1+/-14.5, 68.1+/-13.0 U/ml; P < 0.0001. The 191 variant had little impact on paraoxonase concentrations. Homozygosity for the L allele was an independent risk factor for CVD (odds ratio 1.98 (1.07-3.83); P = 0.031). A linkage disequilibrium (P < 0.0001) was apparent between the mutations giving rise to leucine and arginine at positions 54 and 191, respectively. The study underlines that susceptibility to CVD correlates with high activity paraoxonase alleles. The 54 polymorphism would appear to be of central importance to paraoxonase function by virtue of its association with modulated concentrations. The latter could explain the association between both the 54 and 191 polymorphisms and CVD.
Mutations in glucokinase are associated with defects in insulin secretion and hepatic glycogen synthesis resulting in mild chronic hyperglycaemia, impaired glucose tolerance or diabetes mellitus. We screened members of 35 families with features of maturity-onset diabetes of the young for mutations in the glucokinase gene and found 16 different mutations. They included 14 new mutations in the glucokinase gene: 9 missense mutations (A53S, G80A, H137R, T168P, M210T, C213R, V226M, S336L and V367M); 2 nonsense mutations (E248X and S360X); a deletion of one nucleotide resulting in a frameshift (V401del1); a substitution of a conserved nucleotide at a splice acceptor site (L122-1G-->T); and a 10 base pair deletion that removed the GT of the splice donor site and the following eight nucleotides (K161 + 2del10). In addition, we found two previously identified mutations: R186X and G261R. Study of 260 subjects with glucokinase-deficient hyperglycaemia from 42 families with 36 different GCK mutations made it possible to define the clinical profile of this subtype of non-insulin-dependent diabetes mellitus (NIDDM). Hyperglycaemia due to glucokinase deficiency is often mild (fewer than 50% of subjects have overt diabetes) and is evident during the early years of life. Despite the long duration of hyperglycaemia, glucokinase-deficient subjects have a low prevalence of micro- and macro-vascular complications of diabetes. Obesity, arterial hypertension and dyslipidaemia are also uncommon in this form of NIDDM.
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OBJECTIVE: To determine whether angiotensinogen (AGT) and angiotensin II type 1 (AT1) receptor genes contribute to the development of arterial hypertension in members of French Caucasian families and in subjects with hypertension associated with non-insulin-dependent diabetes mellitus (NIDDM). METHODS: Sibpair linkage analyses were performed with microsatellites near the AGT and AT1 receptor genes in 179 hypertensive sibpairs from 69 NIDDM kindreds. In addition, population/association studies were performed with the M235T and T174M polymorphisms of the AGT gene, and the A1166C polymorphism of the AT1 receptor gene. RESULTS: No evidence for linkage between the AGT and AT1 receptor loci and hypertension was observed. In addition, the distributions of genotypes of AGT and AT1 receptor gene polymorphisms did not differ significantly among a group of unrelated individuals with both hypertension and NIDDM (n = 188) and three groups of unrelated control subjects with NIDDM (n = 117), hypertension (n = 75) or none of these conditions (n = 125). CONCLUSIONS: These results suggest that the AGT and AT1 receptor genes are not major genetic determinants of hypertension associated with NIDDM in this population, although we can not exclude the possibility that these loci make a minor contribution in a polygenic context.
As part of an ongoing search for susceptibility loci for NIDDM, we tested 19 genes whose products are implicated in insulin secretion or action for linkage with NIDDM. Loci included the G-protein-coupled inwardly rectifying potassium channels expressed in beta-cells (KCNJ3 and KCNJ7), glucagon (GCG), glucokinase regulatory protein (GCKR), glucagon-like peptide I receptor (GLP1R), LIM/homeodomain islet-1 (ISL1), caudal-type homeodomain 3 (CDX3), proprotein convertase 2 (PCSK2), cholecystokinin B receptor (CCKBR), hexokinase 1 (HK1), hexokinase 2 (HK2), mitochondrial FAD-glycerophosphate dehydrogenase (GPD2), liver and muscle forms of pyruvate kinase (PKL, PKM), fatty acid-binding protein 2 (FABP2), hepatic phosphofructokinase (PFKL), protein serine/threonine phosphatase 1 beta (PPP1CB), and low-density lipoprotein receptor (LDLR). Additionally, we tested the histidine-rich calcium locus (HRC) on chromosome 19q. All regions were tested for linkage with microsatellite markers in 751 individuals from 172 families with at least two patients with overt NIDDM (according to World Health Organization criteria) in the sibship, using nonparametric methods. These 172 families comprise 352 possible affected sib pairs with overt NIDDM or 621 possible affected sib pairs defined as having a fasting plasma glucose value of >6.1 mmol/l or a glucose value of >7.8 mmol/l 2 h after oral glucose load. No evidence for linkage was found with any of the 19 candidate genes and NIDDM in our population by nonparametric methods, suggesting that those genes are not major contributors to the pathogenesis of NIDDM. However, some evidence for suggestive linkage was found between a more severe form of NIDDM, defined as overt NIDDM diagnosed before 45 years of age, and the CCKBR locus (11p15.4; P = 0.004). Analyses of six additional markers spanning 27 cM on chromosome 11p confirmed the suggestive linkage in this region. Whether an NIDDM susceptibility gene lies on chromosome 11p in our population must be determined by further analyses.
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A 16 week, randomized, double-blind, parallel, placebo-controlled study was designed to determine the effects of low-dose pravastatin on cholesterol concentrations in patients with mild hypercholesterolemia and non-insulin-dependent diabetes mellitus (NIDDM). Following a 6-to 8-week dietary run-in period, a mean serum total cholesterol (TC) level > 5.2 mmol/L (200 mg/dL), but < 7.8 mmol/L (300 mg/dL) was required for entry. Metabolic control of diabetes was determined by a hemoglobin Alc (HbAlc) level less than twice the upper limit of normal on two occasions. Eighty six (86) patients recruited in 5 French diabetic clinics, were randomized in a ratio of 1:1 (pravastatin 10 mg or placebo), and 74 completed the study. There were 12 discontinuations: 5 (11.6%) in the pravastatin group and 7 (16.3%) in the placebo group. Drop-out was due to an adverse event in 1 patient (2.3%) in the pravastatin group and in 5 patients (11.6%) in the placebo group. Thirty five (35) placebo patients and 14 pravastatin patients had their dose of treatment doubled at week 8: the dose of treatment was to be doubled at week 8 in the event of non-response to treatment (TC at week 7 > 5.2 mmol/L and TC decrease < 15% from baseline). At week 16, pravastatin lowered TC from 6.4 to 5.6 mmol/L (-13.8%, p < 0.001 versus placebo), low-density lipoprotein cholesterol (LDL-C) from 4.3 to 3.4 mmol/L (-20.4%, p < 0.001 versus placebo) and slightly increased high-density lipoprotein cholesterol (HDL-C) from 1.18 to 1.25 mmol/L (+6.7%). Side effects were similar in both groups. Blood glucose control was not altered as assessed by serial HbAlc measurements which were unchanged during treatment. This study demonstrated that low-dose pravastatin is effective in lowering cholesterol levels in patients with hypercholesterolemia and NIDDM.
Impaired glucose-stimulated insulin secretion and impaired insulin-mediated glucose uptake are both prominent phenotypic features of non-insulin-dependent diabetes mellitus (NIDDM). Membrane proteins GLUT1 (HepG2), GLUT2 (liver/islet), and GLUT4 (muscle/adipose tissue) facilitate glucose uptake into cells, and their genes are candidates for NIDDM. To assess their role in primary defects of diabetes, we performed linkage analyses between NIDDM and 10 polymorphic markers near GLUT1, GLUT2 and GLUT4 genes in 79 multiplex French NIDDM families. Linkage analyses were performed using both parametric (lodscore) and non-parametric (allele sharing among affected sib pairs) methods. No evidence was found for linkage between NIDDM and GLUT1, GLUT2 and GLUT4 regions, regardless of the methods or models used for analyses. Thus, these familial linkage studies demonstrate that GLUT1, GLUT2 and GLUT4 loci did not contribute significantly to NIDDM in this cohort. The decreased expression of glucose transporters observed in some NIDDM patients may be secondary to other genetic or environmental defects.
The recommended method for assessing long-term blood glucose control in diabetic patients is the measurement of glycated haemoglobin (Hb). The Ames DCA 2000 system for assaying glycated Hb uses an immunoassay with a monoclonal antibody specific for an aminoacid sequence within the HblAc molecule. This study compared the performance of the DCA 2000 system for HblAc measurement with that of high-performance liquid chromatography (HPLC). A total of 1.016 insulin-dependent and non-insulin-dependent diabetic patients from 5 outpatient clinics took part. The correlation coefficients between DCA 2000 and HPLC data ranged between 0.94 and 0.98, depending on site. The mean variations and 95% confidence intervals for the differences between the results for each sample were: site A 0.172 (-1.186 to 1.53), site B -0.275 (-1.317 to 0.767), site C -0.146 (-0.868 to 0.576), site D -0.088 (-0.864 to 0.688), and site E -0.251 (-1.099 to 0.597). The sensitivity of the DCA 2000 assay ranged between 80 and 94%, and the specificity between 88 and 100%, depending on site. For pooled results, the correlation coefficient assayed by the two methods was 0.95. The mean variation was -0.116 and the 95% confidence interval -1.23 to 0.998. The sensitivity of DCA 2000 was 91%, and the specificity 94%. DCA tended to underestimate HbAlc slightly as compared to HPLC. This study confirms the reliability of DCA 2000 for measuring glycated Hb. The system is easy to use and provides valuable information for the care of the diabetic patients.